class: center, middle, inverse, title-slide .title[ # Business Programming (using Python) ] .author[ ### <br> ] .author[ ### .font110[Zhaohu (Jonathan) Fan] ] .author[ ### <br> ] .author[ ### .font70[Information Technology Management] ] .author[ ### .font70[Scheller College of Business] ] .author[ ### .font70[Georgia Institute of Technology] ] .date[ ### .font70[November 21, 2023] ] --- # What this presentation is about </br> </br> </br> </br> </br> </br> - .font180[Understanding the Users' behavior on **Spotify**.] --- # Our research question is </br> </br> </br> </br> </br> </br> - .font180[ How have the interests of **Spotify** users changed over time?] --- # **Spotify's** songs data </br> </br> </br> </br> - .font180[**Spotify** original data includes 32,833 tracks and 23 attributes.] --- # **Spotify's** songs data (cont'd) </br> </br> </br> </br> - .font180[**Spotify** cleaned data includes 28,352 tracks and 23 attributes.] --- # **Playlist Genre** </br> </br> - .font180[**6** Main categories ] + **Latin** + **Pop** + **R&B(Rhythm & Blues)** + **Rap** + **Rock** + **EDM (Electronic Dance Music)** --- # Characteristics of Interests </br> </br> - .font150[**Loudness**]: quality of a sound that is the primary psychological correlate of physical strength (amplitude). Values typical range between -60 and 0 db. - .font150[**Speechiness**]: detects the presence of spoken words in a track. The more exclusively speech-like the recording (e.g. talk show, audio book, poetry), the closer to 1.0 the attribute value. - .font150[**Acousticness**]: measures from 0.0 to 1.0 of whether the track is acoustic. 1.0 represents high confidence the track is acoustic. --- # Characteristics of Interests (cont'd) </br> </br> - .font150[**Track popularity**]: song popularity (0-100) where higher is better. - .font150[**Danceability**] : how suitable a track is for dancing based on a combination of musical elements including tempo, rhythm stability, beat strength, and overall regularity. A value of 0.0 is least danceable and 1.0 is most danceable. - .font150[**Energy**]: represents a perceptual measure of intensity and activity. Energy is a measure from 0.0 to 1.0. Typically, energetic tracks feel fast, loud, and noisy. For example, death metal has high energy, while a Bach prelude scores low on the scale. --- # Exploratory Data Analysis + .font120[The release of tracks by genres ] .center[ <img src="images/1.PNG" width="550" height="400" > ] --- # Exploratory Data Analysis + .font120[The release of tracks by genres ] .pull-left[ <img src="images/1.PNG" width="550" height="360" > ] -- .pull-right[ .font100[ - **Observations** + Across all playlist genres, **rap music** has the greatest number of tracks. + **Latin music** has the lowest number of tracks of all playlist genres. + **There are no genres that are particularly prominent in the majority**. ] ] --- # Exploratory Data Analysis (cont'd) + .font120[Number of tracks released between 2005 and 2019 based on genres ] .center[ <img src="images/2.PNG" width="550" height="400" > ] --- # Exploratory Data Analysis (cont'd) + .font120[Number of tracks released between 2005 and 2019 based on genres ] .pull-left[ .center[ <img src="images/2.PNG" width="580" height="360" > ] ] .pull-right[ .font100[ - **Observations** + Among all other genres, **rock music** releases the least number of songs each year. + Until 2010, **EDM** wasn't that popular, however the number of EDM songs released increased dramatically after 2013 and reached its peak in 2019. ] ] --- # Exploratory Data Analysis (cont'd) + .font120[Key characteristics of interests by genre.] .center[ <img src="images/3.PNG" width="550" height="400" > ] --- # Exploratory Data Analysis (cont'd) + .font120[ Key characteristics of interests by genre.] .pull-left[ .center[ <img src="images/3.PNG" width="550" height="360" > ] ] .pull-right[ .font80[ - **Observations** + **Pop music** enjoys the highest popularity among all genres. + **Rap music** accounts for the highest degree of danceability. + Among all genres of music, **Electronic dance music (EDM)** has the highest energy and loudness. ] ] --- # **Insights** </br> </br> </br> - .font160[We have briefly examined the behavior patterns of users.] --- # **Insights (cont'd)** </br> </br> </br> - .font160[ Spotify's library of tracks consists of tracks from a wide variety of genres, but the most popular tracks are from the pop genre. )] - .font160[Rap music is the most danceable genre. ] --- # **Implications** </br> </br> </br> - .font160[We propose a preliminary recommendation system by using cluster analysis. ] --- # **Implications (cont'd)** </br> </br> </br> - .font160[Our users can thus be suggested songs based on the songs they have previously listened to.] --- # **Implications (cont'd)** </br> </br> </br> - .font160[We expect that this will lead to a higher rate of customer retention as users will be able to access similar playlists.] --- # **Next step(s)** </br> </br> </br> - .font160[We plan to improve the accuracy and efficiency of our proposed recommendation system. ] --- # **Next step(s) (cont'd)** </br> </br> </br> - .font160[Particularly, we will incorporate domain experts' knowledge and the core ideas of discrete choice modelling into our recommendation system, since the types of genres are nominal variables. ] --- class: clear,middle,center .font260[ Questions? ]